
Nursing Entrance Test, An Introduction
One of the biggest hurtles that aspiring nursing school students must face is the Nursing Entrance Test. This is a nationally standardized test that is administered prior to placing students on the long waiting list for nursing school. Even if the student has passed all the prerequisites required for admission, such as anatomy and physiology, English 131 and 132, Sociology, Pharmacology, and Chemistry, this doesn’t guarantee admission to nursing school.
Most RN as well as LVN/LPN nursing schools are now requiring an entrance exam. The most popular is the NET, or Nursing Entrance Test. It is a computer-based test which consists of seven parts. These include:
* math skills (from basics through algebra)
* reading comprehension (at the 10th grade level) for science textbooks
* a reading rate exam
* an evaluation of test-taking skills
* a stress level profile
* a social interaction profile
* learning style evaluation
Although there are required passing grades, of a C at the least, the Nursing Entrance Test must be passed in order to be put on the list for admission to nursing school. This is by far the most nerve racking test that students must face. The main reason for this anxiety is that many students have come into the test either unprepared or just overconfident. Unfortunately, the preparatory literature that is currently available does not do complete justice to covering all that is necessary for the Nursing Entrance Test.
Most schools require at least a score of 50 on the math and reading comprehension sections. Students must be able to comprehend science textbooks which are written at a 10th grade reading level. This is considered to be the “norm” for adult reading levels for college applicants. Algebra is essential for medication calculations. The two combined give a good indication of the ability to use critical thinking skills which are essential to RN programs.
If you’re a prospective nursing student still in high school, you can do a number of things to prepare yourself. First, talk to your school guidance counselor. He or she can point you in the direction of appropriate schools and help determine your course of study. Most nursing programs will look for two to four years of math and science, four years of English, one to two years of health studies, and some foreign language and Computer Science skills.
Most of the prep books cover a plethora of topics associated with various exams offered in the many fields of health care. This is insufficient for the knowledge that is required for passing the Nursing Entrance Test. Those who feel that the test is simply a remedial exercise in review are surprised when they sit for the test, because many have forgotten some basic math and algebra principals. Unfortunately, there are those who have been away from school for such a long time that when they sit for the exam they do very poorly. Some students have never learned math skills efficiently enough to be able to apply them in a test setting. The key to remedy much of this stress is to provide those students that are going to be taking the test with materials that will prepare them for exactly what to expect in the same method that the test is administered.
There is another level of stress that has been added to the test recently. That is, that the student is now only allowed to fail up to three times. After which, the student can no longer enroll in the nursing program at that particular school. For instance, Henry Ford Community College has now adopted this rule. This is very annoying and frustrating to those students who have taken all of their prerequisites and are on their last chance. They are faced with having to transfer their credits to another nursing school program and take the test again at another school. This prolongs their admission to nursing school which is usually a two to three year wait at the minimum. Some students have opted to take a refresher math course. However, this is in no way a guarantee that they will pass the Nursing Entrance Test. Much of the math in a remedial math course is not sufficient to pass the Nursing Entrance Test.
About the Author
Melih (“may-lee”) Oztalay, CEO
SmartFinds Internet Marketing
Web: www.thenetstudyguide.com
EMail: melih@hsfideas.com
The nursing entrance test study guide provides nurses the assistance they need with the nursing entrance test. The nursing study guide helps nurses.
Lec 2 | MIT 6.00 Introduction to Computer Science and Programming, Fall 2008
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A Beginner’s Guide to Structural Equation Modeling $162.33 The second edition features: a CD with all of the book’’s Amos, EQS, and LISREL programs and data sets; new chapters on importing data issues related to data editing and on how to report research; an updated introduction to matrix notation and programs that illustrate how to compute these calculations; many more computer program examples and chapter exercises; and increased coverage of factors that affect correlation, the 4-step approach to SEM and hypothesis testing, significance, power, and sample size issues. The new edition’’s expanded use of applications make this book ideal for advanced students and researchers in psychology, education, business, health care, political science, sociology, and biology. A basic understanding of correlation is assumed and an understanding of the matrices used in SEM models is encouraged. |
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A Brief History Of Computing $39.95 This comprehensive book provides an introduction into the key topics in the history of computing in an easy-to-follow and concise manner. It does not require studies in computer science in order to be understood and appreciated. The book covers significant areas and events in the field from the beginnings of computation in 3000B.C. through to the present day. Helpful pedagogical elements such as exercises and chapter summaries are included. Focusing on the fundamental areas in the computing field, this clearly written and broad-ranging text will catch the attention and greatly benefit computer science students. |
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A Classical Introduction to Cryptography Exercise Book $39.95 This companion exercise and solution book to A Classical Introduction to Cryptography: Applications for Communications Security contains a carefully revised version of teaching material used by the authors and given as examinations to advanced-level students of the Cryptography and Security Lecture at EPFL from 2000 to mid-2005. A Classical Introduction to Cryptography Exercise Book covers a majority of the subjects that make up today’s cryptology, including symmetric or public-key cryptography, cryptographic protocols, design, cryptanalysis, and implementation of cryptosystems. Exercises do not require an extensive background in mathematics, since the most important notions are introduced and discussed in many of the exercises.The authors expect the readers to be comfortable with basic facts of discrete probability theory, discrete mathematics, calculus, algebra, and computer science. Following the model of A Classical Introduction to Cryptography: Applications for Communications Security, exercises related to the more advanced parts of the textbook are marked with a star. |
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A Classical Introduction to Cryptography: Applications for Communications Security $79.95 A Classical Introduction to Cryptography: Applications for Communications Security introduces fundamentals of information and communication security by providing appropriate mathematical concepts to prove or break the security of cryptographic schemes. This advanced-level textbook covers conventional cryptographic primitives and cryptanalysis of these primitives; basic algebra and number theory for cryptologists; public key cryptography and cryptanalysis of these schemes; and other cryptographic protocols, e.g. secret sharing, zero-knowledge proofs and undeniable signature schemes. A Classical Introduction to Cryptography: Applications for Communications Security is designed for upper-level undergraduate and graduate-level students in computer science. This book is also suitable for researchers and practitioners in industry. A separate exercise/solution booklet is available as well, please go to www.springeronline.com under author: Vaudenay for additional details on how to purchase this booklet. |
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A Course in Stochastic Processes $339.89 This volume is an introduction to stochastic processes and their statistics. Basic stochastic processes are developed from real world situations to the need for generating mathematical models, while at the same time students learn to apply theoretical models. The lessons cover basic stochastic processes such as Poisson processes, Markov chains, random walks, renewal theory, queuing theory, ARMA models, martingales, Brownian motion and diffusion processes. The statistical topics treated include the basic aspects of statistics of point processes, stationary processes and diffusion processes. Audience: This textbook will be useful for one-semester courses at graduate level to students of mathematics, statistics, computer science, electrical and industrial engineering and economics. |
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A First Course in Logic: An Introduction to Model Theory, Proof Theory, Computability, and Complexity $78.1 The ability to reason and think in a logical manner forms the basis of learning for most mathematics, computer science, philosophy and logic students. Based on the author’’s teaching notes at the University of Maryland and aimed at a broad audience, this text covers the fundamental topics in classical logic in an extremely clear, thorough and accurate style that is accessible to all the above. Covering propositional logic, first-order logic, and second-order logic, as well as proof theory, computability theory, and model theory, the text also contains numerous carefully graded exercises and is ideal for a first or refresher course. |
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A First Course in Machine Learning $72.2 Offering a complete introduction to the fundamental concepts underlying machine learning theory, this text presents modern methods and mathematical foundations needed to enable further study. The text requires minimal mathematical prerequisites, making it appropriate for students who are new to the field. Emphasizing a practical approach to the material, each chapter includes worked examples. Case studies illustrate interesting applications from engineering, computer science, and the life sciences. A supporting website provides MATLAB implementations of all methods described in the text as well as lecture slides and a solutions manual for qualifying instructors. |
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A First Course in Stochastic Models $80 The field of applied probability has changed profoundly in the past twenty years. The development of computational methods has greatly contributed to a better understanding of the theory. A First Course in Stochastic Models provides a self-contained introduction to the theory and applications of stochastic models. Emphasis is placed on establishing the theoretical foundations of the subject, thereby providing a framework in which the applications can be understood. Without this solid basis in theory no applications can be solved. Provides an introduction to the use of stochastic models through an integrated presentation of theory, algorithms and applications. Incorporates recent developments in computational probability. Includes a wide range of examples that illustrate the models and make the methods of solution clear. Features an abundance of motivating exercises that help the student learn how to apply the theory. Accessible to anyone with a basic knowledge of probability. A First Course in Stochastic Models is suitable for senior undergraduate and graduate students from computer science, engineering, statistics, operations research, and any other discipline where stochastic modelling takes place. It stands out amongst other textbooks on the subject because of its integrated presentation of theory, algorithms and applications. |
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A First Course in Stochastic Models $38.76 The field of applied probability has changed profoundly in the past twenty years. The development of computational methods has greatly contributed to a better understanding of the theory. A First Course in Stochastic Models provides a self-contained introduction to the theory and applications of stochastic models. Emphasis is placed on establishing the theoretical foundations of the subject, thereby providing a framework in which the applications can be understood. Without this solid basis in theory no applications can be solved. Provides an introduction to the use of stochastic models through an integrated presentation of theory, algorithms and applications. Incorporates recent developments in computational probability. Includes a wide range of examples that illustrate the models and make the methods of solution clear. Features an abundance of motivating exercises that help the student learn how to apply the theory. Accessible to anyone with a basic knowledge of probability. A First Course in Stochastic Models is suitable for senior undergraduate and graduate students from computer science, engineering, statistics, operations resear ch, and any other discipline where stochastic modelling takes place. It stands out amongst other textbooks on the subject because of its integrated presentation of theory, algorithms and applications. |
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A Mathematical Introduction to Logic $119.26 A Mathematical Introduction to Logic, Second Edition, offers increased flexibility with topic coverage, allowing for choice in how to utilize the textbook in a course. The author has made this edition more accessible to better meet the needs of today’’s undergraduate mathematics and philosophy students. It is intended for the reader who has not studied logic previously, but who has some experience in mathematical reasoning. Material is presented on computer science issues such as computational complexity and database queries, with additional coverage of introductory material such as sets. * Increased flexibility of the text, allowing instructors more choice in how they use the textbook in courses. * Reduced mathematical rigour to fit the needs of undergraduate students |
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A Modern Introduction To Probability And Statistics $89.91 Probability and Statistics are studied by most science students, usually as a second- or third-year course. Many current texts in the area are just cookbooks and, as a result, students do not know why they perform the methods they are taught, or why the methods work. The strength of this book is that it readdresses these shortcomings; by using examples, often from real-life and using real data, the authors can show how the fundamentals of probabilistic and statistical theories arise intuitively. It provides a tried and tested, self-contained course, that can also be used for self-study. A Modern Introduction to Probability and Statistics has numerous quick exercises to give direct feedback to the students. In addition the book contains over 350 exercises, half of which have answers, of which half have full solutions. A website at www.springeronline.com/1-85233-896-2 gives access to the data files used in the text, and, for instructors, the remaining solutions. The only pre-requisite for the book is a first course in calculus; the text covers standard statistics and probability material, and develops beyond traditional parametric models to the Poisson process, and on to useful modern methods such as the bootstrap. This will be a key text for undergraduates in Computer Science, Physics, Mathematics, Chemistry, Biology and Business Studies who are studying a mathematical statistics course, and also for more intensive engineering statistics courses for undergraduates in all engineering subjects. |
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Advanced Engineering Mathematics $74.15 Advanced Engineering Mathematics provides comprehensive and contemporary coverage of key mathematical ideas, techniques, and their widespread applications, for students majoring in engineering, computer science, mathematics and physics. Using a wide range of examples throughout the book, Jeffrey illustrates how to construct simple mathematical models, how to apply mathematical reasoning to select a particular solution from a range of possible alternatives, and how to determine which solution has physical significance. Jeffrey includes material that is not found in works of a similar nature, such as the use of the matrix exponential when solving systems of ordinary differential equations. The text provides many detailed, worked examples following the introduction of each new idea, and large problem sets provide both routine practice, and, in many cases, greater challenge and insight for students. Most chapters end with a set of computer projects that require the use of any CAS (such as Maple or Mathematica ) that reinforce ideas and provide insight into more advanced problems. A Student Solutions Manual is also available. * Comprehensive coverage of frequently used integrals, functions and fundamental mathematical results* Contents selected and organized to suit the needs of students, scientists, and engineers* Contains tables of Laplace and Fourier transform pairs* New section on numerical approximation* New section on the z-transform* Easy reference system |
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Agriscience & Technology $187.95 With its seamless integration of biology, physical science, technology, and agriculture, this up-to-date edition presents the latest agriscience concepts while giving students a comprehensive introduction to the field. Divided into five sections (biotechnology, food and fiber technology, energy and power technology, computer-aided management, and environmental technology), the text covers a wide range of current topics, from genetic engineering to low-input sustainable agriculture. Through the career section in every chapter, students learn how new concepts in science and technology can be applied to exciting careers in agriscience. |
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Algebra: A Computational Introduction $110.78 Adequate texts that introduce the concepts of abstract algebra are plentiful. None, however, are more suited to those needing a mathematical background for careers in engineering, computer science, the physical sciences, industry, or finance than Algebra: A Computational Introduction. Along with a unique approach and presentation, the author demonstrates how software can be used as a problem-solving tool for algebra. The numerous exercises and examples along with downloads available from the Internet help establish a valuable working knowledge of Mathematica and provide a good reference for complex problems encountered in the field. |
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Algorithms $111.83 Algorithms: Sequential, Parallel, and Distributed offers in-depth coverage of traditional and current topics in sequential algorithms, as well as a solid introduction to the theory of parallel and distributed algorithms. In light of the emergence of modern computing environments such as parallel computers, the Internet, and cluster and grid computing, it is important that computer science students be exposed to algorithms that exploit these technologies. Berman and Paul’’s text will teach students how to create new algorithms or modify existing algorithms, thereby enhancing students? ability to think independently. |
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Alice $58.07 An excellent primer for the CS0 student, as well as the ideal companion to Computer Science Illuminated, Third Edition, Alice: The Programming Language offers a clear introduction to this engaging language. This overview describes the fundamentals of the language, the structure of Alice programs, how Alice supports object-oriented programming, and much more. |
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An Engineering Approach to Computer Networking $69.99 This practical introduction to computer networking takes a unique and highly effective engineering approach that not only describes how networks operate but also offers insight into the principles of network design. An Engineering Approach to Computer Networking simultaneously studies all three major network technologies-Asynchronous Transfer Mode (ATM), Internet, and telephony. You will find clear overviews of these technologies and extensive, up-to-date coverage of all essential networking topics: protocol layering; multiple access; switching; scheduling; naming, addressing, and routing; error and flow control; and traffic management. For each topic, the book identifies fundamental constraints and analyzes the pros and cons of several alternative solutions. Through detailed descriptions of common protocols used in telephone, Internet, and ATM networks-as well as a tour of system design and protocol implementation techniques-this book shows you how these concepts are put to use in real networks. Practical in focus, An Engineering Approach to Computer Networking features many real-world examples and is supported with on-line material including: Microsoft PowerPoint slides covering the material in the book. A multithreaded, packet-level network simulator that allows users to simulate arbitrary protocols. Simulation exercises covering multiple access, error control, flow control, routing, and scheduling. A bibliography with links to Web sites referred to in the text. A searchable glossary. Solutions to all exercises. With this deeper understanding of network structure and hands-on experience implementing protocols, you will havean excellent command of the field and be better equipped to design powerful and efficient networks and leading-edge networking software. S. Keshav, Associate Professor of Computer Science at Cornell University, has employed the engineering approach with great success in networking co |
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An Introduction To Bioinformatics Algorithms $66 This introductory text offers a clear exposition of the algorithmic principles driving advances in bioinformatics. Accessible to students in both biology and computer science, it strikes a unique balance between rigorous mathematics and practical techniques, emphasizing the ideas underlying algorithms rather than offering a collection of apparently unrelated problems.The book introduces biological and algorithmic ideas together, linking issues in computer science to biology and thus capturing the interest of students in both subjects. It demonstrates that relatively few design techniques can be used to solve a large number of practical problems in biology, and presents this material intuitively. An Introduction to Bioinformatics Algorithms is one of the first books on bioinformatics that can be used by students at an undergraduate level. It includes a dual table of contents, organized by algorithmic idea and biological idea; discussions of biologically relevant problems, including a detailed problem formulation and one or more solutions for each; and brief biographical sketches of leading figures in the field. These interesting vignettes offer students a glimpse of the inspirations and motivations for real work in bioinformatics, making the concepts presented in the text more concrete and the techniques more approachable.PowerPoint presentations, practical bioinformatics problems, sample code, diagrams, demonstrations, and other materials can be found at the Author’s website. |
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An Introduction to Discrete Mathematics, Formal System Specification, and Z $68.55 Formal specification is the name given to the use of discrete mathematics in computer science for describing the function of both hardware and software systems. Poor specification often gives rise to severe problems in software and hardware installation. This textbook is an introduction to both the theory and practice of formal specification, and this new edition includes two new chapters on Z, one giving a number of small examples in Z, the other covering design and Z. Prerequisites in this edition have been kept to a minimum since Professor Ince is at pains to develop the techniques of requirement analysis and discrete mathematics that are needed. Throughout the book are numerous worked examples and exercises which include many real examples of software and computer systems. |
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An Introduction to Formal Language And Automata $184.95 Fully revised, the new Fourth Edition of An Introduction to Formal Languages and Automata provides an accessible, student-friendly presentation of all material essential to an introductory Theory of Computation course. The text was designed to familiarize students with the foundations and principles of computer science and to strengthen the students” ability to carry out formal and rigorous mathematical arguments. In the new Fourth Edition, author Peter Linz has offered a straightforward, uncomplicated treatment of formal languages and automata and avoids excessive mathematical detail so that students may focus on and understand the underlying principles. In an effort to further the accessibility and comprehension of the text, the author has added new illustrative examples throughout. |
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An Introduction to Formal Languages and Automata $188.95 Written to address the fundamentals of formal languages, automata, and computability, this work provides an accessible, student-friendly presentation of all material essential to an introductory Theory of Computation course. It is designed to familiarize students with the foundations and principles of computer science. Includes a CD-ROM. |
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An Introduction to Genetic Algorithms $39 Genetic algorithms are used in science and engineering for problem solving and as computational models. This brief introduction enables readers to implement and experiment with genetic algorithms on their own. The descriptions of applications and modeling projects stretch beyond the boundaries of computer science to include systems theory, game theory, biology, ecology, and population genetics. 20 illustrations. |
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An Introduction to Html and Javascript for Scientists and Engineers $38.84 JavaScript continues to be widely used for simple online applications. This book presents HTML and JavaScript in a way that uniquely meets the needs of students in engineering and the sciences. The author shows how to create simple client-side applications for scientific and engineering calculations. Complete HTML/JavaScript examples with science/engineering applications are used throughout to guide the reader comprehensively through the subject. This book is specifically targeted at a technical audience, but not one that is necessarily familiar with a programming language, and gives the reader a sufficient understanding of HTML and JavaScript to write their online applications. This book emphasises basic programming principles in a modern Web-oriented environment, making it suitable for an introductory programming course for non-computer science majors. It is also ideal for self-study. There is Supplementary website for this book containing code examples and all graphics files. |
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An Introduction to Java Programming And Object-oriented Application Development $147.95 An Introduction to Java Programming and Object-Oriented Application Development is an introductory text intended for beginning programming students, whether in high school, junior college, or a four-year university majoring in computer science or computer information systems. This text covers what students need to know about basic Java programming in a clear, straight-forward writing style. This text spends less time on verbiage and offers more examples than other books. The key concepts are isolated and identified for easier understanding and quick review. This kind of organization will help students better understand what they are reading and enable them to find important topics for review later. |
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An Introduction to Kolmogorov Complexity and Its Applications $62.98 Written by two experts in the field, this book is ideal for advanced undergraduate students, graduate students, and researchers in computer science, mathematics, cognitive sciences, philosophy, artificial intelligence, statistics, and physics. It is self-contained in that it contains the basic requirements from mathematics and computer science. Included are also numerous problem sets, comments, source references, and hints to solutions of problems, as well as a great deal of new material not included in the first edition. |
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An Introduction to Management Science: Quantitative Approach to Decision Making $153.42 ASW’s Introduction to Management Science: A Quantitative Approach to Decision Making provides thorough, application-oriented coverage in a very readable writing style. This is the leading text on the market. Simply put, it’s a classic! The problem-scenario approach introduces quantitative procedures through situations that include both problem formulation and technique application. The extensive linear programming coverage includes problem formulation, computer solution, and practical application. The text covers transportation, assignment, and the integer programming extension of linear programming, as well as advanced topics like waiting line models, simulation, and decision analysis. A large selection of problems includes self-test problems with complete solutions and case problems. Excel spreadsheet appendices are included as well. |
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An Introduction to Optimal Control Problems in Life Sciences and Economics $61.24 Combining control theory and modeling, this textbook introduces and builds on methods for simulating and tackling concrete problems in a variety of applied sciences. Emphasizing learning by doing, the authors focus on examples and applications to real-world problems. An elementary presentation of advanced concepts, proofs to introduce new ideas, and carefully presented MATLAB programs help foster an understanding of the basics, but also lead the way to new, independent research.With minimal prerequisites and exercises in each chapter, this work serves as an excellent textbook and reference for graduate and advanced undergraduate students, researchers, and practitioners in mathematics, physics, engineering, computer science, as well as biology, biotechnology, economics, and finance. |
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An Introduction to Protein Informatics $136.4 Protein informatics is a newer name for an already existing discipline. It encompasses the techniques used in bioinformatics and molecular modeling that are related to proteins. While bioinformatics is mainly concerned with the collection, organization, and analysis of biological data, molecular modeling is devoted to representation and manipulation of the structure of proteins. Protein informatics requires substantial prerequisites on computer science, mathematics, and molecular biology. The approach chosen here, allows a direct and rapid grasp on the subject starting from basic knowledge of algorithm design, calculus, linear algebra, and probability theory. An Introduction to Protein Informatics, a professional monograph will provide the reader a comprehensive introduction to the field of protein informatics. The text emphasizes mathematical and computational methods to tackle the central problems of alignment, phylogenetic reconstruction, and prediction and sampling of protein structure. An Introduction to Protein Informatics is designed for a professional audience, composed of researchers and practitioners within bioinformatics, molecular modeling, algorithm design, optimization, and pattern recognition. This book is also suitable as a graduate-level text for students in computer science, mathematics, and biomedicine. |
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An Introduction to Scientific Computing: Twelve Computational Projects Solved with MATLAB $66.34 This book demonstrates scientific computing by presenting twelve computational projects in several disciplines including Fluid Mechanics, Thermal Science, Computer Aided Design, Signal Processing and more. Each follows typical steps of scientific computing, from physical and mathematical description, to numerical formulation and programming and critical discussion of results. The text teaches practical methods not usually available in basic textbooks: numerical checking of accuracy, choice of boundary conditions, effective solving of linear systems, comparison to exact solutions and more. The final section of each project contains the solutions to proposed exercises and guides the reader in using the MATLAB scripts available online. |
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An Introduction to Web Design + Programming $137.95 Combining viewpoints from a Department of Computer Science (Paul Wang) and a School of Visual Communication Design (Sanda Katila), this innovative book covers the design and technology aspects of Web site development in an integrated manner. The balanced perspective leads to an understanding of the artistic design, visual communication, information architecture, computer science, and programming needed to begin mastering the Web. While focusing on the art and technology of Web site creation, the authors emphasize theoretical understanding and developmental techniques. |
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An Introduction to the Analysis of Algorithms $64.99 This book provides a thorough introduction to the primary techniques used in the mathematical analysis of algorithms. The authors draw from classical mathematical material, including discrete mathematics, elementary real analysis, and combinatories, as well as from classical computer science material, including algorithms and data structures. They focus on average-case or probabilistic analysis, although they also cover the basic mathematical tools required for worst-case or complexity analysis. Topics include recurrences, generating functions, asymptotics, trees, strings, maps, and an analysis of sorting, tree search, string search, and hashing algorithms. |
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An Introduction to the Logic of the Computing Sciences: A Contemporary Look at Symbolic Logic $52.69 An Introduction to the Logic of the Computing Sciences provides an introduction to symbolic logic by creating connections with the diverse fields of philosophy, mathematics, computing sciences, law, business, popular culture, and ethics, so that students from varied backgrounds can grasp the ideas of logic. The author relates symbolic logic to computer science by introducing each logical principle by a truth table, flow chart, and algorithm. He emphasizes the connections between logic and the different subjects through over two hundred word problems that relate to the different areas. Following a strategic plan that avoids intimidating students, the author introduces each new principle one at a time with a set of twenty exercises that require the use of that principle. He introduces the next principle with exercises that require the use of the new principle and the principles previously studied, gradually building on the knowledge of the student until he or she has a thorough understanding of symbolic logic. |
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Analysis of Ordinal Categorical Data $153.52 Statistical science s first coordinated manual of methods for analyzing ordered categorical data presents applications and case studies in fields as diverse as sociology, public health, ecology, marketing, and pharmacy. Analysis of Ordinal Categorical Data provides an introduction to basic descriptive and inferential methods for categorical data and gives thorough coverage of late developments. Special emphasis is placed on interpretation and application of methods including an integrated comparison of the available strategies for analyzing ordinal data. The book also discusses implementation of methods using computer packages such as SAS, SPSSx, and GLIM. |
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Analytical Engine: An Introduction to Computer Science Using the Internet $193.59 Analytical Engine: An Introduction to Computer Science Using the Internet |
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Applied Data Mining: Statistical Methods for Business and Industry $73.02 The increasing availability of data in the current information society has led to the need for valid tools for its modelling and analysis. Data mining and applied statistical methods are the appropriate tools to extract knowledge from such data. Applied Data Mining: Statistical Methods for Business and Industry provides an accessible introduction to data mining methods in a consistent and application-oriented statistical framework. It describes six case studies, taken from real industry projects, highlighting the current applications of data mining methods. Provides an introduction to data mining methods and applications. Includes coverage of classical and Bayesian multivariate statistical methodology as well as of machine learning and computational data mining methods. Includes many recent developments, such as association and sequence rules, graphical Markov models, memory-based reasoning, credit risk and web mining. Features a number of detailed case studies based on applied projects within industry. Incorporates discussion of data mining software, and the case studies are analysed using SAS and SAS Enterprise Miner. Accessible to anyone with a basic knowledge of statistics or data analysis. Includes an extensive bibliography and pointers to further reading within the text. Applied Data Mining: Statistical Methods for Business and Industry is primarily aimed at advanced undergraduate and graduate students of data mining, applied statistics, database management, computer science and economics. The case studies give guidance to professionals working in industry on projects involving large volumes of data, such as in customerrelationship management, web design, risk management, marketing, economics and finance. |
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Artificial Intelligence $117.96 Virtually all the literature on artificial intelligence is expressed in the jargon of commuter science, crowded with complex matrix algebra and differential equations. Unlike many other books on computer intelligence, this one demonstrates that most ideas behind intelligent systems are simple and straightforward. The book has evolved from lectures given to students with little knowledge of calculus, and the reader needs no prerequisites associated with knowledge of any programming language. The methods used in the book have been extensively tested through several courses given by the author. The book provides an introduction to the field of computer intelligence, covering rule-based expert systems, fuzzy expert systems, frame-based expert systems, artificail neural networks, evolutionary computation, hybrid intelligent systems, knowledge engineering, data mining. In a university setting the book can be used as an introductory course within computer science, information systems or engineering departments. The book is also suitable as a self-study guide for non-computer science professionals, giving access to the state of the art in knowledge-based systems and computational intelligence. Everyone who faces challenging problems and cannot solve them using traditional approaches can benefit |
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Artificial Intelligence $175.46 Virtually all the literature on artificial intelligence is expressed in the jargon of commuter science, crowded with complex matrix algebra and differential equations. Unlike many other books on computer intelligence, this one demonstrates that most ideas behind intelligent systems are simple and straightforward. The book has evolved from lectures given to students with little knowledge of calculus, and the reader needs no prerequisites associated with knowledge of any programming language. The methods used in the book have been extensively tested through several courses given by the author. The book provides an introduction to the field of computer intelligence, covering rule-based expert systems, fuzzy expert systems, frame-based expert systems, artificail neural networks, evolutionary computation, hybrid intelligent systems, knowledge engineering, data mining. In a university setting the book can be used as an introductory course within computer science, information systems or engineering departments. The book is also suitable as a self-study guide for non-computer science professionals, giving access to the state of the art in knowledge-based systems and computational intelligence. Everyone who faces challenging problems and cannot solve them using traditional approaches can benefit |
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Artificial Intelligence $53.71 Presupposing no familiarity with the technical concepts of either philosophy or computing, this clear introduction reviews the progress made in AI since the inception of the field in 1956. Copeland goes on to analyze what those working in AI must achieve before they can claim to have built a thinking machine and appraises their prospects of succeeding. There are clear introductions to connectionism and to the language of thought hypothesis which weave together material from philosophy, artificial intelligence and neuroscience. John Searle’’s attacks on AI and cognitive science are countered and close attention is given to foundational issues, including the nature of computation, Turing Machines, the Church-Turing Thesis and the difference between classical symbol processing and parallel distributed processing. The book also explores the possibility of machines having free will and consciousness and concludes with a discussion of in what sense the human brain may be a computer. |
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Automata Theory and Its Applications $101.13 This introduction fills an important gap in the market by presenting a uniform treatment of the theory of finite state machines. The book covers all standard fundamental results as well as their important applications to operating systems, temporal logic, database theory and communication systems. The exposition is self-contained and includes numerous examples, illustrations, and exercises. The book will be a useful reference for computer science professionals and students who wish to understand the foundations of modern formal approaches to software development, validation, and verification. |
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Automatic Quantum Computer Programming: A Genetic Programming Approach $91.88 Once realized, the potential of large-scale quantum computers promises to radically transform computer science. Despite large-scale international efforts, however, essential questions about the potential of quantum algorithms are still unanswered. Automatic Quantum Computer Programming is an introduction both to quantum computing for non-physicists and to genetic programming for non-computer-scientists. The book explores several ways in which genetic programming can support automatic quantum computer programming and presents detailed descriptions of specific techniques, along with several examples of their human-competitive performance on specific problems. |
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Barron’s MCAT $3.77 The MCAT as it is now given is a solely computer-based exam, and Barron’s brand-new edition of the MCAT manual offers test preparation that is specifically focused to respond to that format. The manual’s introduction presents a detailed overview of the test, and follows with strategies for study, stress management, and test taking. The bulk of this book is given over to extensive reviews in science and math, followed by advice on writing the MCAT essay. Four full-length model MCATs are then presented with answer keys and answer explanations. |
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Basic Content Analysis $18 This second edition of Basic Content Analysis is completely updated and offers a concise introduction to content analysis methods from a social science perspective. It includes new computer applications, new studies and an additional chapter on problems and issues that can arise when carrying out content analysis in four major areas: measurement, indication, representation and interpretation. |
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Bayesian Nets And Causality $123.66 Bayesian nets are widely used in artificial intelligence as a calculus for casual reasoning, enabling machines to make predictions, perform diagnoses, take decisions and even to discover casual relationships. But many philosophers have criticized and ultimately rejected the central assumptionon which such work is based-the causal Markov Condition. So should Bayesian nets be abandoned? What explains their success in artificial intelligence? This book argues that the Causal Markov Condition holds as a default rule: it often holds but may need to be repealed in the face of counterexamples. Thus, Bayesian nets are the right tool to use by default but naively applying them can lead to problems. The book develops a systematic account of causal reasoning and shows how Bayesian nets can be coherently employed to automate the reasoning processes of an artificial agent. Theresulting framework for causal reasoning involves not only new algorithms, but also new conceptual foundations. Probability and causality are treated as mental notions – part of an agent’s belief state. Yet probability and causality are also objective – different agents with the same backgroundknowledge ought to adopt the same or similar probabilistic and causal beliefs. This book, aimed at researchers and graduate students in computer science, mathematics and philosophy, provides a general introduction to these philosophical views as well as exposition of the computational techniquesthat they motivate. |
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Binary Decision Diagrams and Applications for VLSI CAD $91.88 Symbolic Boolean manipulation using binary decision diagrams (BDDs) has been successfully applied to a wide variety of tasks, particularly in very large scale integration (VLSI) computer-aided design (CAD). The concept of decision graphs as an abstract representation of Boolean functions dates back to the early work by Lee and Akers. In the last ten years, BDDs have found widespread use as a concrete data structure for symbolic Boolean manipulation. With BDDs, functions can be constructed, manipulated, and compared by simple and efficient graph algorithms. Since Boolean functions can represent not just digital circuit functions, but also such mathematical domains as sets and relations, a wide variety of CAD problems can be solved using BDDs.Binary Decision Diagrams and Applications for VLSI CAD provides valuable information for both those who are new to BDDs as well as to long time aficionados.’ -from the Foreword by Randal E. Bryant. Over the past ten years … BDDs have attracted the attention of many researchers because of their suitability for representing Boolean functions. They are now widely used in many practical VLSI CAD systems. … this book can serve as an introduction to BDD techniques and … it presents several new ideas on BDDs and their applications. … many computer scientists and engineers will be interested in this book since Boolean function manipulation is a fundamental technique not only in digital system design but also in exploring various problems in computer science.’ – from the Preface by Shin-ichi Minato. |
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Bioinformatics: Sequence and Genome Analysis $114.75 The application of computational methods to DNA and protein science is a new and exciting development in biology. Bioinformatics: Sequence and Genome Analysis is a comprehensive introduction to this emerging field of study. The book has many unique and valuable features: — It is written for any biologist who wants to understand methods of sequence and structure analysis and how the necessary computer programs work– Sequence alignment, structure prediction, phylogenetic and gene prediction, database searching, and genome analysis are clearly explained and amply illustrated– Underlying algorithms and assumptions are clearly explained for the non-specialist– Examples are presented in simple numerical terms rather than complex formulas and notation– Theoretical underpinnings are linked to biological problems and their solutions– Extensive tables provide descriptions and Web sources for a broad range of publicly available software– An associated Website (www.bioinformaticsonline.org), accessible free of charge by book purchasers, provides links to Internet sources referred to in the text, as well as problem sets for classroom use, and other useful material not included in the text.Based on the well-established course given at the University of Arizona by the author, David Mount, this book is an ideal foundation for teaching at an undergraduate and graduate level. It is also highly suited for the self-instruction of investigators interested in the application of methods and strategies in functional genomics and for the needs of information specialists working in molecular biology and pharmaceutical laboratories. |
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C Programming for Engineering and Computer Science (B.E.S.T. Series) [With Example Programs] $100.63 Readers without a computer programming background will now be able to design programs and write efficient, structured applications in C–thanks to this thorough guide. Example programs are contained on a disk packaged with the book. An introduction to C++ is included that prepares the reader for learning this important language in the future. |
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C Programming for the Absolute Beginner $29.99 If you are new to programming with C and are looking for a solid introduction, this is the book for you. Developed by computer science instructors, books in the for the absolute beginner series teach the principles of programming through simple game creation. C is not an easy language to learn, but fortunately the clear explanations, examples, and pictures in this book make learning C easy and fun. Each chapter contains programming challenges, a chapter review, and a complete program that uses chapter-based concepts to construct an easily built application. You will acquire the skills that you need for more practical C programming applications and will learn how these skills can be put to use in real-world scenarios. Additionally, by the time you finish this book, you will be able to apply the programming principles you”ve learned to the next programming language you tackle. |
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C++ Advanced Course $8.86 Following the success of Fundamentals of Program Design and Data Structures by Lambert and Naps, C++ Advanced Course is essential for a second course in Computer Science. Completely updated, this text provides in-depth coverage to help students prepare for the AP exam, Exam AB. A full introduction to the essential features of C++ is provided and programming techniques are emphasized in the context of interesting and realistic case problems. This text is compatible with C++ compilers from Microsoft, Borland, and Metrowerks. |
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C++ from the Beginning $89.86 C++ From the Beginning covers the whole of the C++ language from simple basics to advanced language constructs. The emphasis is on building programming skills via examples and exercises, integrating object-oriented programming with object-oriented design while teaching the basics of the language. It is a book with a dual purpose: to teach the fundamental principles of good programming, and to provide an accessible and direct introduction to C++. It is ideal for beginners taking their first programming course, and for programmers with some experience requiring a thorough introduction to the C++ language. Since the publication of the first edition of this book in 1997, the ISO standard for C++ has been approved. This new edition of the book covers the ISO standard, which incorporates a library of utility classes called the STL (Standard Template Library) not previously included in the core of C++. This book describes these new classes as well as advanced topics such as exceptions, streams, templates and function objects. New to this editionThe class string and the STL class vector are used in a natural way throughout the book Additional chapter on the new standard template library (STL) based on the ISO and ANSI standard of 1998 UML is now used in the chapter on object-oriented program development Borland C++ has been replaced with Microsoft’s Visual C++ Three new appendices have been included Jan Skansholm is a lecturer in the Department of Computer Science at Chalmers University of Technology in Gothenburg, Sweden. He isthe author of the best-selling Ada95 from the Beginning, and Java from the Beginning. |
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CAD/CAM Theory and Practice $145.5 This text is suitable for an introduction to CAD/CAM taught in departments of mechanical engineering. The book combines a good balance of the three main ingredients of CAD/CAM: computer science, engineering design and applications, and industrial implementations and technology. |
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Car Pc Hacks $24.95 From The Publisher:A car PC or carputer is a car tricked-out with electronics for playing radio, music and DVD movies, connecting to the Internet, navigating and tracking with satellite, taking photos, and any electronic gadget a person wants in a car. All these devices are managed and controlled through a single screen or interface. The only place car PC enthusiasts can go for advice, tips and tools is a handful of hard-to-find Web sites–until now. Car PC Hacks is your guide into the car PC revolution.Packing MP3 players, handheld devices, computers and video-on-demand systems gives you a pile too heavy to carry. But add a car and put them together, you’ve got a powerful and mobile multimedia center requiring no lifting. The next time you give kids a lift, you won’t hear, Are we there yet? Instead, expect We’re there already? as they won’t want to leave the car while playing video games from multiple consoles.Car PC Hacks is the first book available to introduce and entrench you into this hot new market. You can count on the book because it hails from O’Reilly, a trusted resource for technical books. Expect innovation, useful tools, and fun experiments that you’ve come to expect from O’Reilly’s Hacks Series.Maybe you’ve hacked computers and gadgets, and now you’re ready to take it to your car. If hacking is new and you would like to mix cars and computers, this book gets you started with its introduction to the basics of car electrical systems. Even when you’re unclear on the difference between amps and watts, expect a clear explanation along with real-life examples to get on track. Whether you’re venturing into car PC for the first time or an experienced hobbyist, hop in the book for a joy ride.About The Author:Damien Stolarz is an inventor with a decade of experience making different kinds of computers talk to each other. After studying Computer Science and Electrical Engineering at UCLA, Damien co-founded Blue Falcon Networ |
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Combinatorial Optimization $127.89 This book offers an in-depth overview of polyhedral methods and efficient algorithms in combinatorial optimization.These methods form a broad, coherent and powerful kernel in combinatorial optimization, with strong links to discrete mathematics, mathematical programming and computer science. In eight parts, various areas are treated, each starting with an elementary introduction to the area, with short, elegant proofs of the principal results, and each evolving to the more advanced methods and results, with full proofs of some of the deepest theorems in the area. Over 4000 references to further research are given, and historical surveys on the basic subjects are presented. |
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Computability and Randomness $76.79 The interplay between computability and randomness has been an active area of research in recent years, reflected by ample funding in the USA, numerous workshops, and publications on the subject. The complexity and the randomness aspect of a set of natural numbers are closely related. Traditionally, computability theory is concerned with the complexity aspect. However, computability theoretic tools can also be used to introduce mathematical counterparts for the intuitive notion of randomness of a set. Recent research shows that, conversely, concepts and methods originating from randomness enrich computability theory. Covering the basics as well as recent research results, this book provides a very readable introduction to the exciting interface of computability and randomness for graduates and researchers in computability theory, theoretical computer science, and measure theory. |
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Computability: A Mathematical Sketchbook $84.95 Computability: A Mathematical Sketchbook is a concise, rigorous introduction to the theory of computation. Using Turing machines as models of computers, the author develops major themes of computability theory, culminating in a systematic account of Blum’s abstract complexity measures. One of the book’s unique aspects is the inclusion of a chapter on computable real numbers and elementary computable analysis. Exercises and solutions form an integral part of the material. The book is suitable for self-study and provides excellent course materials for senior and graduate-level students in mathematics and computer science. |
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Computational Intelligence in Bioinformatics $83.8 Combining biology, computer science, mathematics, and statistics, the field of bioinformatics has become a hot new discipline with profound impacts on all aspects of biology and industrial application. Now, Computational Intelligence in Bioinformatics offers an introduction to the topic, covering the most relevant and popular CI methods, while also encouraging the implementation of these methods to readers” research. |
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Computational Materials Science $92.85 Nowadays, with ever-increasing power of computer and new computation methods, computational science is part of the necessary curriculum for materials science students. This textbook is an introduction to practical computational science for non-specialist materials science students and engineers. Written in a light-hearted and accessible style, the book minimizes the use of difficult-to-penetrate equations and theories. The author presents materials properties calculations using the 3 main computer programs used by materials scientists – XMD, LAMMPS and VASP. Ample worked examples, case studies and homework problems supplement the text and clarify the material. |
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Computer Architecture: From Microprocessors to Supercomputers $84.57 Computer Architecture: From Microprocessors to Supercomputers provides a comprehensive introduction to computer architecture, covering topics from the design of simple microprocessors to techniques used in the most advanced supercomputers. The book covers a wide array of topics and links computer architecture to other sub-fields of computing; emphasizing both underlying theory and actual designs. The material is presented in lecture-sized chapters that make it easy for students to understand the relationships of various topics and see the big picture. The text is divided into seven parts, each with four chapters. Part I provides context and reviews prerequisite topics such as digital computer technology and computer system performance. Part II discusses instruction-set architecture (ISA). The next two parts cover the central processing unit (CPU). Part III describes the structure of arithmetic/logic units (ALUs) and Part IV is devoted to data path and control circuits. Part V deals with the memory system. Part VI covers input/output and interfacing topics and Part VII introduces advanced architectures. Computer Architecture: From Microprocessors to Supercomputers is designed for an introductory course in computer architecture. It is suitable for students majoring in electrical engineering, computer science, or computer engineering. Features BLProvides a large number of clever and often original applications, examples, and illustrations drawn from economics, political science, and biology BLContains more than 280 exercises–many classroom-tested–that are applicable to real-world issues BLExplains game theory at a level suitable for undergraduates and includes chapters on evolutionaryequilibrium, repeated games, and strategic and axiomatic bargaining theory BLEmploys consistent use of notation and terminology An Instructors Manual (0-19-522213-X) and CD with PowerPointsRG are available to adopters. |
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Computer Mathematics $32.68 Computer Mathematics will be of interest to undergraduate students of computer science and mathematics, post-graduate computing ”conversion” course students and computer professionals who need an introduction to the mathematics that underpins computer science theory. |









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